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Given a compact set $S$ and a uniformly discrete sequence $\La$, we show that "approximate interpolation" of delta--functions on $\La$ by a bounded sequence of $L^2-$functions with spectra in $S$ implies an estimate on measure of $S$…

Classical Analysis and ODEs · Mathematics 2008-06-19 Alexander Olevskii , Alexander Ulanovskii

Interpolation inequalities in Triebel-Lizorkin-Lorentz spaces and Besov-Lorentz spaces are studied for both inhomogeneous and homogeneous cases. First we establish interpolation inequalities under quite general assumptions on the parameters…

Functional Analysis · Mathematics 2021-09-17 Jaeseong Byeon , Hyunseok Kim , Jisu Oh

Test functions are important to validate new optimization algorithms and to compare the performance of various algorithms. There are many test functions in the literature, but there is no standard list or set of test functions one has to…

Optimization and Control · Mathematics 2010-08-04 Xin-She Yang

Interpolation Theory gives techniques for constructing spaces from two initial Banach spaces. We provide several conditions under which the restriction of a holomorphic map $f:X_0+X_1 \rightarrow Y_0+Y_1$ to the interpolated spaces (using…

Functional Analysis · Mathematics 2017-06-21 Pablo Jiménez-Rodíguez

We consider inductive limits of weighted spaces of holomorphic functions in the unit ball of $\mathbb C^n$. The relationship between sets of uniqueness, weakly sufficient sets and sampling sets in these spaces is studied. In particular, the…

Complex Variables · Mathematics 2019-04-25 Bingyang Hu , Le Hai Khoi

Matrices resulting from the discretization of a kernel function, e.g., in the context of integral equations or sampling probability distributions, can frequently be approximated by interpolation. In order to improve the efficiency, a…

Numerical Analysis · Mathematics 2021-12-10 Steffen Börm

A natural interpolation problem in the cone of positive harmonic functions is considered and the corresponding interpolating sequences are geometrically described.

Classical Analysis and ODEs · Mathematics 2007-05-23 Daniel Blasi , Artur Nicolau

We derive a family of interpolation estimates which improve Hardy's inequality and cover the Sobolev critical exponent. We also determine all optimizers among radial functions in the endpoint case and discuss open questions on nonrestricted…

Classical Analysis and ODEs · Mathematics 2025-01-03 Charlotte Dietze , Phan Thành Nam

We prove that under very mild conditions for any interpolation formula $f(x) = \sum_{\lambda\in \Lambda} f(\lambda)a_\lambda(x) + \sum_{\mu\in M} \hat{f}(\mu)b_{\mu}(x)$ we have a lower bound for the counting functions $n_\Lambda(R_1) +…

Classical Analysis and ODEs · Mathematics 2020-05-27 Aleksei Kulikov

Let P be a closed triangulated manifold, dim P=n. We consider the group of simplicial 1-chains C_1(P) and the homology group H_1(P). We also use some nonnegative weighting function L on C_1(P). For any homological class from H_1(P) method…

Algebraic Topology · Mathematics 2007-05-23 A. V. Lapteva , E. I. Yakovlev

This paper proposes a novel variant of hyperinterpolation, called hard thresholding hyperinterpolation. This approximation scheme of degree $n$ leverages a hard thresholding operator to filter all hyperinterpolation coefficients, which…

Numerical Analysis · Mathematics 2024-11-28 Congpei An , Jiashu Ran

Singular and oscillatory functions feature in numerous applications. The high-accuracy approximation of such functions shall greatly help us develop high-order methods for solving applied mathematics problems. This paper demonstrates that…

Numerical Analysis · Mathematics 2022-05-20 Congpei An , Hao-Ning Wu

This paper addresses the challenge of function approximation using Hermite interpolation on equally spaced nodes. In this setting, standard polynomial interpolation suffers from the Runge phenomenon. To mitigate this issue, we propose an…

Numerical Analysis · Mathematics 2024-09-06 Francesco Dell'Accio , Francisco Marcellán , Federico Nudo

The transformed $l_1$ penalty (TL1) functions are a one parameter family of bilinear transformations composed with the absolute value function. When acting on vectors, the TL1 penalty interpolates $l_0$ and $l_1$ similar to $l_p$ norm ($p…

Information Theory · Computer Science 2016-10-19 Shuai Zhang , Jack Xin

We prove a finiteness principle for interpolation of data by nonnegative Cm functions. Our result raises the hope that one can start to understand constrained interpolation problems in which e.g. the interpolating function F is required to…

Classical Analysis and ODEs · Mathematics 2016-03-09 Charles Fefferman , Arie Israel , Garving K. Luli

The worst-case performance of an optimization method on a problem class can be analyzed using a finite description of the problem class, known as interpolation conditions. In this work, we study interpolation conditions for linear operators…

Optimization and Control · Mathematics 2025-11-21 Nizar Bousselmi , Zhicheng Deng , Jie Lu , Francois Glineur , Julien M. Hendrickx

Many tasks in image processing can be tackled by modeling an appropriate data fidelity term $\Phi: \mathbb{R}^n \rightarrow \mathbb{R} \cup \{+\infty\}$ and then solve one of the regularized minimization problems \begin{align*}…

Optimization and Control · Mathematics 2015-06-30 René Ciak

Let $({\mathcal X}, d, \mu)$ be a metric measure space and satisfy the so-called upper doubling condition and the geometrically doubling condition. In this paper, the authors establish an interpolation result that a sublinear operator which…

Analysis of PDEs · Mathematics 2012-01-31 Haibo Lin , Dongyong Yang

We investigate the error of periodic interpolation, when sampling a function on an arbitrary pattern on the torus. We generalize the periodic Strang-Fix conditions to an anisotropic setting and provide an upper bound for the error of…

Functional Analysis · Mathematics 2018-12-10 Ronny Bergmann , Jürgen Prestin

We introduce a general method, named the h-function method, to unify the constructions of level-alpha exact test and 1-alpha exact confidence interval. Using this method, any confidence interval is improved as follows: i) an approximate…

Statistics Theory · Mathematics 2021-08-27 Weizhen Wang